import sys

  import cv2
  import numpy as np
  from matplotlib import pyplot as plt
  
  def Corners():
  	image = None
  	while (image is None):

  		if sys.version_info >= (3, 0):
  			image = str(input('\tImage to use ? By default couleur.png \n'))
  		else:
  			image = str(raw_input('\tImage to use ? By default couleur.png \n'))

  		if not image:
  			image = 'couleur.png'
  		image = cv2.imread(str(image))
  	img = image.copy()
  	gray= cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  	gray = np.float32(gray)
  	dst = cv2.cornerHarris(gray, 5, 5, 0.15)
  	dst = cv2.dilate(dst, None)
  	img[dst>0.01*dst.max()] = [0,0,255]
  	cv2.imshow('dst', img)
  	cv2.waitKey(0)
  	cv2.destroyAllWindows()
  	return
  
  def Edges():
  	image = None
  	while (image is None):

  		if sys.version_info >= (3, 0):
  			image = str(input('\tImage to use ? By default couleur.png \n'))
  		else:
  			image = str(raw_input('\tImage to use ? By default couleur.png \n'))

  		if not image:
  			image = 'couleur.png'
  		image = cv2.imread(str(image))
  	img = image.copy()
  	edges = cv2.Canny(img, 100, 200)
  	plt.subplot(121),plt.imshow(img,cmap='gray')
  	plt.title('Original Image'), plt.xticks([]), plt.yticks([])
  	plt.subplot(122),plt.imshow(edges,cmap = 'gray')
  	plt.title('Edge Image'), plt.xticks([]), plt.yticks([])
  	plt.show()
  	return